This project will evaluate and compare different tools within electronic health records to assist pediatric primary care clinicians with providing higher quality childhood obesity care to help slow weight gain in children with obesity.
USA, CT, New Haven
This project developed the Patient-Centered Virtual Multimedia Interactive Informed Consent tool and found that patients who used the tool had increased knowledge and higher satisfaction than control patients.
Understanding How Social Influence and Social Networks Affect Electronic Medical Record Implementation
This project studied the influence of social networks on technology implementation and found that clinicians’ networks influence beliefs and use of the electronic medical records.
This project developed and piloted a patient-centered clinical decision support tool that was used in emergency department management of minor head injury and found high patient and clinician satisfaction and usability.
This project designed a shared decisionmaking support aid for vaginal birth after Caesarean section and concluded that the tool was feasible to implement for a diverse patient population.
Developed and evaluated Web-enabled education tools in hospitals and homes for renal transplant patients to reduce medication errors and improve safety and compliance using wireless portable computers.
This project developed and validated a new disability diagnostic tool that allowed emergency department physicians to connect patients to better healthcare referrals and proper long-term care services.
Implemented and evaluated a community-wide EHR for health care providers in pediatric primary care, school health, specialty care, and emergency medicine who provide care for inner city children with asthma.
This project evaluated how the implementation of a secure e-mail messaging (e-messaging) system between clinicians and patients affects provider efficiency, utilization of emergency department for medication refills, and patients’ satisfaction.
This project was a collaboration effort to design, develop, implement, and demonstrate clinical decision support (CDS) applications using systematic and replicable processes for knowledge transformation and CDS design.